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Agnes Videogen

Community
ziho7
agnes-videogen

Generate videos using the Agnes Video V2.0 model API. Use when the user asks to generate videos via Agnes AI platform (apihub.agnes-ai.com). Triggers on: agnes video, agnes 视频, video gen, generate video, text to video, image to video, keyframe interpolation, 生视频, 文生视频, 图生视频.

Overview

Publisherziho7
Repositoryagnes-skills
Skill nameagnes-videogen
Stars
71
Forks
14
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ziho7 on GitHub. Read the source before you install it.

Installation

Install the Agnes Videogen AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ziho7/agnes-skills/tree/main/agnes-videogen
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ziho7/agnes-skills.git /tmp/agnes-skills
mkdir -p .claude/skills
cp -r /tmp/agnes-skills/agnes-videogen .claude/skills/agnes-videogen
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agnes Videogen in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agnes Videogen on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agnes Videogen is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Agnes Video Generation

Generate videos using the Agnes Video V2.0 API.

Prerequisites

  • An Agnes AI API key from API Platform
  • Base URL: https://apihub.agnes-ai.com/v1

API Architecture

Agnes Video V2.0 uses an asynchronous two-step workflow:

  1. Create Video Task — submit the request, get a video_id
  2. Retrieve Video Result — poll the video_id to get the final video

API Endpoints

Step 1: Create Video Task

Endpoint: POST https://apihub.agnes-ai.com/v1/videos

Headers:

  • Authorization: Bearer YOUR_API_KEY
  • Content-Type: application/json

Step 2: Retrieve Video Result

Endpoint: GET https://apihub.agnes-ai.com/agnesapi?video_id=<VIDEO_ID>

Headers:

  • Authorization: Bearer YOUR_API_KEY

Optional parameter: model_name — specify model explicitly (e.g., agnes-video-v2.0)

Legacy method (compatibility): GET https://apihub.agnes-ai.com/v1/videos/<TASK_ID>

Model Name

agnes-video-v2.0

Request Parameters (Create Task)

ParameterTypeRequiredDescription
modelstringYesUse agnes-video-v2.0
promptstringYesText description of the video content
imagestring / arrayNoImage URL or image URL array (for image-to-video)
modestringNoGeneration mode: ti2vid (text-to-video) or keyframes
heightintegerNoVideo height. Default: 768
widthintegerNoVideo width. Default: 1152
num_framesintegerNoNumber of frames. Must be ≤ 441, follows 8n + 1 rule
frame_ratenumberNoVideo FPS. Range: 1–60
num_inference_stepsintegerNoNumber of inference steps
seedintegerNoRandom seed for reproducible results
negative_promptstringNoContent to avoid
extra_body.imagearrayNoInput image URLs for multi-image or keyframe mode
extra_body.modestringNoAdditional mode setting, e.g., keyframes

Workflows

1. Text-to-Video

bash
curl -X POST https://apihub.agnes-ai.com/v1/videos \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "agnes-video-v2.0",
    "prompt": "A cinematic shot of a cat walking on the beach at sunset, soft ocean waves, warm golden lighting, realistic motion",
    "height": 768,
    "width": 1152,
    "num_frames": 121,
    "frame_rate": 24
  }'

Response:

json
{
  "id": "task_YOUR_TASK_ID",
  "task_id": "task_YOUR_TASK_ID",
  "video_id": "video_YOUR_VIDEO_ID",
  "object": "video",
  "model": "agnes-video-v2.0",
  "status": "queued",
  "progress": 0,
  "created_at": 1780457477,
  "seconds": "10.0",
  "size": "1280x768"
}

2. Image-to-Video (single image)

bash
curl -X POST https://apihub.agnes-ai.com/v1/videos \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "agnes-video-v2.0",
    "prompt": "The woman slowly turns around and looks back at the camera, natural facial expression, cinematic camera movement",
    "image": "https://example.com/image.png",
    "num_frames": 121,
    "frame_rate": 24
  }'

3. Multi-Image Video

bash
curl -X POST https://apihub.agnes-ai.com/v1/videos \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "agnes-video-v2.0",
    "prompt": "Create a smooth transformation scene between the two reference images, cinematic lighting, consistent character identity, natural motion",
    "extra_body": {
      "image": [
        "https://example.com/image1.png",
        "https://example.com/image2.png"
      ]
    },
    "num_frames": 121,
    "frame_rate": 24
  }'

4. Keyframe Interpolation

bash
curl -X POST https://apihub.agnes-ai.com/v1/videos \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "agnes-video-v2.0",
    "prompt": "Generate a smooth cinematic transition between the keyframes, maintaining visual consistency and natural camera movement",
    "extra_body": {
      "image": [
        "https://example.com/keyframe1.png",
        "https://example.com/keyframe2.png"
      ],
      "mode": "keyframes"
    },
    "num_frames": 121,
    "frame_rate": 24
  }'

Retrieve Video Result

Poll until status is "completed" and progress is 100:

bash
curl --location --request GET \
  'https://apihub.agnes-ai.com/agnesapi?video_id=video_xxxxxx' \
  --header 'Authorization: Bearer YOUR_API_KEY'

Completed response:

json
{
  "id": "task_YOUR_TASK_ID",
  "video_id": "video_YOUR_VIDEO_ID",
  "model": "agnes-video-v2.0",
  "object": "video",
  "status": "completed",
  "progress": 100,
  "seconds": "10.0",
  "size": "1280x768",
  "remixed_from_video_id": "https://storage.googleapis.com/agnes-aigc/aigc/videos/2026/06/03/video_xxxxxx.mp4",
  "error": null
}

Final video URL: remixed_from_video_id

Result Fields

FieldTypeDescription
idstringTask ID
video_idstringVideo ID
modelstringModel used
objectstringAlways "video"
statusstringTask status (queued, processing, completed, failed)
progressintegerProgress percentage (0–100)
secondsstringVideo duration
sizestringVideo resolution (e.g., "1280x768")
remixed_from_video_idstringFinal video URL (only when completed)
errorstring / nullError message if failed

Important Notes

  • Asynchronous workflow: Submit → get video_id → poll for result
  • num_frames must follow 8n + 1 rule and be ≤ 441
  • frame_rate range: 1–60
  • Default resolution: 1152×768
  • Recommended polling interval: 5–10 seconds
  • Timeout recommended: 60s–360s for create request
  • Pricing: Currently free during beta

Supported Capabilities

  • Text-to-Video generation
  • Image-to-Video generation
  • Multi-image video composition
  • Keyframe interpolation
  • Custom resolution, frame rate, and duration
  • Reproducible results via seed

Frequently asked questions

What does the Agnes Videogen AI skill do?

Generate videos using the Agnes Video V2.0 model API. Use when the user asks to generate videos via Agnes AI platform (apihub.agnes-ai.com). Triggers on: agnes video, agnes 视频, video gen, generate video, text to video, image to video, keyframe interpolation, 生视频, 文生视频, 图生视频.

Why use Agnes Videogen on TypingMind?

Because you install it once and use it with any model. Agnes Videogen is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agnes Videogen in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ziho7/agnes-skills/tree/main/agnes-videogen. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agnes Videogen?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agnes Videogen?

As many as you like. As long as a model supports skills, you can use Agnes Videogen with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agnes Videogen AI skill free?

It is published on GitHub by ziho7. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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